This dataset contains GWAS summary statistics for 9 quantitative phenotypes from the UK Biobank. The phenotypes are: HEIGHT: Standing height (Data-Field: 50) BMI: Body mass index (Data-Field: 21001) WC: Waist circumference (Data-Field: 48) HC: Hip circumference (Data-Field: 49) BW: Birth weight (Data-Field: 20022) FVC: Forced vital capacity (Data-Field: 3062) FEV1: Forced expiratory volume in 1-second (Data-Field: 3063) HDL: HDL cholesterol (Data-Field: 30760) LDL: LDL cholesterol (Data-Field: 30780) The GWAS study used data from "White British" samples (N = 337225), which were randomly divided into 5 folds for the purposes of cross-validation. The upload contains, for each fold, GWAS summary statistics for the training, validation, and test set. The validation summary statistics can be used for model selection/tuning. The test summary statistics can be used to evaluate PRS models via pseudo-validation methods. Association testing was done with plink2. The structure of the data is as follows: train fold_1 chr_1.PHENO1.glm.linear chr_2.PHENO1.glm.linear ... fold_2 fold_3 ... validation fold_1 fold_2 fold_3 ... test fold_1 fold_2 fold_3 ... For more details about the GWAS study, Quality Control (QC) criteria, or other information, please consult our publication: Zabad, S., Gravel, S., & Li, Y. (2023). Fast and accurate Bayesian polygenic risk modeling with variational inference. The American Journal of Human Genetics, 110(5), 741–761. https://doi.org/10.1016/j.ajhg.2023.03.009 If you use this data in your work, please cite the publication above.